Characterisation of Received Signal Strength Perturbations using Allan Variance
Luo, C; Casaseca, P; McClean, S; et al.Parr, G; Ren, P
Date: 3 November 2017
Journal
IEEE Transactions on Aerospace and Electronic Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
The received signal strength (RSS) of wireless signals
conveys important information that has been widely used in wireless
communications, localisation and tracking. Traditional RSS-based
research and applications model the RSS signal using a deterministic
component plus a white noise term. This paper investigates the
assumption ...
The received signal strength (RSS) of wireless signals
conveys important information that has been widely used in wireless
communications, localisation and tracking. Traditional RSS-based
research and applications model the RSS signal using a deterministic
component plus a white noise term. This paper investigates the
assumption of white noise to have a further understanding of the
RSS signal and proposes a methodology based on the Allan Variance
(AVAR) to characterise it. Using AVAR, we model the RSS unknown
perturbations as correlated random terms. These terms can account
for both coloured noise or other effects such as shadowing or smallscale
fading. Our results confirm that AVAR can be used to obtain
a flexible model of the RSS perturbations, as expressed by coloured
noise components . The study is complemented by introducing two
straightforward applications of the proposed methodology: 1) The
modelling and simulation of RSS noise using Wiener processes, and
2) RSS localisation using the extended Kalman filter
Computer Science
Faculty of Environment, Science and Economy
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